Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2014-07-10 09:26:00	ga_ls7e_ard_3-0-0_091089_2014-07-09_final
2015-01-02 09:26:59	ga_ls7e_ard_3-0-0_091089_2015-01-01_final
2016-07-15 09:31:02	ga_ls7e_ard_3-1-0_091089_2016-07-15_final
2016-09-01 09:31:09	ga_ls7e_ard_3-0-0_091089_2016-09-01_final
2016-11-04 09:31:06	ga_ls7e_ard_3-0-0_091089_2016-11-04_final
2017-01-07 09:30:42	ga_ls7e_ard_3-0-0_091089_2017-01-07_final
2017-01-23 09:30:31	ga_ls7e_ard_3-0-0_091089_2017-01-23_final
2017-02-24 09:30:30	ga_ls7e_ard_3-0-0_091089_2017-02-24_final
2017-03-28 09:30:42	ga_ls7e_ard_3-0-0_091089_2017-03-28_final
2017-04-13 09:30:48	ga_ls7e_ard_3-0-0_091089_2017-04-13_final
2017-04-29 09:30:54	ga_ls7e_ard_3-0-0_091089_2017-04-29_final
2017-05-15 09:30:57	ga_ls7e_ard_3-0-0_091089_2017-05-15_final
2017-05-31 09:31:01	ga_ls7e_ard_3-0-0_091089_2017-05-31_final
2017-06-16 09:31:05	ga_ls7e_ard_3-0-0_091089_2017-06-16_final
2017-08-03 09:31:06	ga_ls7e_ard_3-0-0_091089_2017-08-03_final
2017-08-19 09:31:04	ga_ls7e_ard_3-0-0_091089_2017-08-19_final
2017-09-04 09:31:05	ga_ls7e_ard_3-0-0_091089_2017-09-04_final
2017-09-20 09:31:02	ga_ls7e_ard_3-0-0_091089_2017-09-20_final
2017-10-06 09:31:04	ga_ls7e_ard_3-0-0_091089_2017-10-06_final
2017-10-22 09:31:06	ga_ls7e_ard_3-0-0_091089_2017-10-22_final
2017-11-07 09:31:05	ga_ls7e_ard_3-0-0_091089_2017-11-07_final
2017-11-23 09:31:01	ga_ls7e_ard_3-0-0_091089_2017-11-23_final
2017-12-09 09:30:54	ga_ls7e_ard_3-0-0_091089_2017-12-09_final
2018-01-10 09:30:31	ga_ls7e_ard_3-0-0_091089_2018-01-10_final
2018-01-26 09:30:16	ga_ls7e_ard_3-0-0_091089_2018-01-26_final
2018-02-11 09:30:01	ga_ls7e_ard_3-1-0_091089_2018-02-11_final
2018-02-27 09:29:52	ga_ls7e_ard_3-1-0_091089_2018-02-26_final
2018-03-31 09:29:27	ga_ls7e_ard_3-0-0_091089_2018-03-30_final
2018-04-16 09:29:12	ga_ls7e_ard_3-0-0_091089_2018-04-15_final
2018-05-02 09:28:55	ga_ls7e_ard_3-0-0_091089_2018-05-01_final
2018-05-18 09:28:39	ga_ls7e_ard_3-0-0_091089_2018-05-17_final
2018-06-03 09:28:23	ga_ls7e_ard_3-0-0_091089_2018-06-02_final
2018-06-19 09:28:06	ga_ls7e_ard_3-0-0_091089_2018-06-18_final
2018-07-05 09:27:47	ga_ls7e_ard_3-0-0_091089_2018-07-04_final
2018-07-21 09:27:30	ga_ls7e_ard_3-0-0_091089_2018-07-20_final
2018-08-22 09:26:54	ga_ls7e_ard_3-0-0_091089_2018-08-21_final
2018-09-07 09:26:34	ga_ls7e_ard_3-0-0_091089_2018-09-06_final
2018-09-23 09:26:12	ga_ls7e_ard_3-0-0_091089_2018-09-22_final
2018-11-10 09:25:06	ga_ls7e_ard_3-0-0_091089_2018-11-09_final
2018-11-26 09:24:42	ga_ls7e_ard_3-0-0_091089_2018-11-25_final
2018-12-12 09:24:17	ga_ls7e_ard_3-0-0_091089_2018-12-11_final
2018-12-28 09:23:49	ga_ls7e_ard_3-0-0_091089_2018-12-27_final
2019-01-13 09:23:20	ga_ls7e_ard_3-0-0_091089_2019-01-12_final
2019-01-29 09:22:48	ga_ls7e_ard_3-0-0_091089_2019-01-28_final
2019-02-14 09:22:20	ga_ls7e_ard_3-0-0_091089_2019-02-13_final
2019-03-02 09:21:50	ga_ls7e_ard_3-1-0_091089_2019-03-01_final
2019-03-18 09:21:19	ga_ls7e_ard_3-1-0_091089_2019-03-17_final
2019-04-19 09:20:12	ga_ls7e_ard_3-0-0_091089_2019-04-18_final
2019-05-05 09:19:36	ga_ls7e_ard_3-0-0_091089_2019-05-04_final
2019-05-21 09:18:59	ga_ls7e_ard_3-0-0_091089_2019-05-20_final
2019-06-06 09:18:25	ga_ls7e_ard_3-0-0_091089_2019-06-05_final
2019-06-22 09:17:50	ga_ls7e_ard_3-0-0_091089_2019-06-21_final
2019-07-08 09:17:13	ga_ls7e_ard_3-0-0_091089_2019-07-07_final
2019-07-24 09:16:35	ga_ls7e_ard_3-0-0_091089_2019-07-23_final
2019-08-09 09:15:56	ga_ls7e_ard_3-0-0_091089_2019-08-08_final
2019-08-25 09:15:16	ga_ls7e_ard_3-1-0_091089_2019-08-24_final
2019-09-10 09:14:34	ga_ls7e_ard_3-1-0_091089_2019-09-09_final
2019-09-26 09:13:52	ga_ls7e_ard_3-1-0_091089_2019-09-25_final
2019-10-12 09:13:12	ga_ls7e_ard_3-1-0_091089_2019-10-11_final
2019-10-28 09:12:31	ga_ls7e_ard_3-1-0_091089_2019-10-27_final
2019-11-29 09:11:02	ga_ls7e_ard_3-1-0_091089_2019-11-28_final
2019-12-31 09:09:25	ga_ls7e_ard_3-1-0_091089_2019-12-30_final
2020-01-16 09:08:37	ga_ls7e_ard_3-1-0_091089_2020-01-15_final
2020-02-17 09:07:00	ga_ls7e_ard_3-1-0_091089_2020-02-16_final
2020-03-04 09:06:09	ga_ls7e_ard_3-1-0_091089_2020-03-03_final
2020-03-20 09:05:16	ga_ls7e_ard_3-1-0_091089_2020-03-19_final
2020-04-05 09:04:22	ga_ls7e_ard_3-1-0_091089_2020-04-04_final
2020-04-21 09:03:26	ga_ls7e_ard_3-1-0_091089_2020-04-20_final
2020-05-07 09:02:29	ga_ls7e_ard_3-1-0_091089_2020-05-06_final
2020-05-23 09:01:29	ga_ls7e_ard_3-1-0_091089_2020-05-22_final
2020-06-08 09:00:33	ga_ls7e_ard_3-1-0_091089_2020-06-07_final
2020-06-24 08:59:37	ga_ls7e_ard_3-1-0_091089_2020-06-23_final
2020-07-10 08:58:39	ga_ls7e_ard_3-1-0_091089_2020-07-09_final
2020-07-26 08:57:40	ga_ls7e_ard_3-1-0_091089_2020-07-25_final
2020-08-11 08:56:40	ga_ls7e_ard_3-1-0_091089_2020-08-10_final
2020-09-28 08:53:32	ga_ls7e_ard_3-1-0_091089_2020-09-27_final
2020-10-14 08:52:31	ga_ls7e_ard_3-1-0_091089_2020-10-13_final
2020-10-30 08:51:28	ga_ls7e_ard_3-1-0_091089_2020-10-29_final
2021-02-19 08:43:24	ga_ls7e_ard_3-2-0_091089_2021-02-18_final
2021-03-07 08:42:10	ga_ls7e_ard_3-2-0_091089_2021-03-06_final
2021-03-23 08:40:54	ga_ls7e_ard_3-2-0_091089_2021-03-22_final
2021-04-08 08:39:35	ga_ls7e_ard_3-2-0_091089_2021-04-07_final
2021-04-24 08:38:14	ga_ls7e_ard_3-2-0_091089_2021-04-23_final
2021-05-26 08:35:32	ga_ls7e_ard_3-2-0_091089_2021-05-25_final
2021-06-11 08:34:12	ga_ls7e_ard_3-2-0_091089_2021-06-10_final
2021-06-27 08:32:54	ga_ls7e_ard_3-2-0_091089_2021-06-26_final
2021-07-13 08:31:32	ga_ls7e_ard_3-2-0_091089_2021-07-12_final
2021-07-29 08:30:09	ga_ls7e_ard_3-2-0_091089_2021-07-28_final
2021-08-14 08:28:44	ga_ls7e_ard_3-2-0_091089_2021-08-13_final
2021-08-30 08:27:21	ga_ls7e_ard_3-2-0_091089_2021-08-29_final
2021-09-15 08:25:57	ga_ls7e_ard_3-2-0_091089_2021-09-14_final
2021-10-01 08:24:31	ga_ls7e_ard_3-2-0_091089_2021-09-30_final
2021-10-17 08:23:06	ga_ls7e_ard_3-2-0_091089_2021-10-16_final
2021-11-02 08:21:38	ga_ls7e_ard_3-2-0_091089_2021-11-01_final
2021-12-04 08:18:34	ga_ls7e_ard_3-2-1_091089_2021-12-03_final
2022-01-05 08:15:26	ga_ls7e_ard_3-2-1_091089_2022-01-04_final
2022-01-21 08:13:56	ga_ls7e_ard_3-2-1_091089_2022-01-20_final
2022-02-06 08:12:20	ga_ls7e_ard_3-2-1_091089_2022-02-05_final
2022-02-22 08:10:44	ga_ls7e_ard_3-2-1_091089_2022-02-21_final
2022-03-10 08:09:11	ga_ls7e_ard_3-2-1_091089_2022-03-09_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years